The Lobo Lab

Computational & Systems Biology

At the Lobo Lab we are interested in understanding, controlling, and designing the dynamic regulatory mechanisms that direct complex biological processes. We develop new computational systems that can generate models, hypothesis, and theory from experimental data — automatically. We seek to discover the mechanisms of development and regeneration, find therapies for cancer and other diseases, and streamline the application of systems and synthetic biology.

News

- Daniel receives the PhRMA Foundation Research Starter Award at the 26th Conference on Intelligent Systems for Molecular Biology in Chicago, IL.

- Joy gives an invited talk and presents a poster at the National Symposium for Undergraduate Research at the St. Jude Children’s Research Hospital Graduate School of Biomedical Sciences, Memphis, TN.

- David Williams joins the lab as an undergraduate researcher. Welcome David!

Computational AI methods

Computational Methods

We develop computational methods to automatically reverse engineer dynamic models, discover novel elements, and find the best next experiments to test.

Planarian worms simulation

Systems Biology

We build quantitative mathematical models to understand, analyze, and predict the behavior of biological systems.

Planform

Knowledge Representation

We create ontologies, curate databases, and develop expert systems used by both human scientists and artificial intelligence machines.

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Development and Regeneration

We study how shapes and patterns are formed from a single cell during development and restored through regeneration.

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Cancer and other Diseases

We seek to understand why and how regulatory mechanisms go awry to produce cancer and other diseases.

Regulatory network

Synthetic Biology

We design and optimize regulatory and metabolic networks with desired dynamics and behaviors to solve specific bioengineering problems.